Africa Sentiment Datasets
Collection
The collection contains sentiment-labeled text data for 42 African languages
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43 items
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Updated
Dataset Viewer
Kongo
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| sentiment
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Ntotila Balaki bingaka yandi mbala ya zole mpi silaka na kupesa yandi konso kima yina yandi me zola. | Negative |
nasi tusi tuka kite nasi tuka tusi kasa nasu kise nanu sata nane kasu nani kisa | Negative |
Yandi kwendaka ve kukutana ti bawanzyo to bankaka. | Negative |
Sepela ti kieleka kansi ve ti mambu ya kukonda lunungu | Negative |
Ebuna, Samuel tubilaka yandi nde: 'Kulemfuka na Jéhovah kuluta mbote kutambikila yandi mameme ya kitoko. | Positive |
Kana nge ke longuka mingi mambu ya Nzambi, nge ta kuma kuzola yandi mingi. | Positive |
tena tuni tuku tuta nuki tuni tuka tuka nuna nusa nuna nunu nuna nusi keka nasu | Positive |
Ata muntu mosi ve kele ti kiyeka na zulu na yandi. | Negative |
Keti Nzambi gangaka bantu to bo katukaka na bambisi? | Negative |
Ebuna mono kepesa nge mpi ata bima yina ya nge melomba ve: na kimvwama na nkembo.' | Positive |
O Yave wa Nzambi wakana vo e nza yakala yo wantu ansongi, alunga muna kunsadila. | Negative |
Konso muntu yina tafukama ve, talosama na fulu ya tiya mingi.' | Negative |
kenga mwavatangaladile vanu venu vashilanga doni, | Negative |
Ngolela Ek Kria ie Undu Kutala Diesu (PL.:Mesu) Mutakanga Dibuku Kueb? | Negative |
Ya ntete kelakisaka samu na yinki Nzambi salaka bantu: samu bazaba yandi, bazola yandi mpe basadila yandi na kukuikama. | Positive |
Kansi masa yina ya mono kepesaka kezingisaka mvula na mvula.' | Positive |
Kuna kwa ndonga, o lufwa i dimosi muna mambu mevangamanga muna zingu, kuna kwa yau i kani dia Nzambi. | Positive |
Yau kelomba nde Aaron na mono beto basisila beno masa na ditadi yai?' | Negative |
Yo vandaka ve pete sambu na beto bifwa-makutu na kusansa bana nsambwadi ya babakala yina kele ve bifwa-makutu. | Positive |
Bubu nandi wumana visa mbote mambu ma Nzambi ayi kithwadi kyandi na Yave kimana kinda." | Positive |
Beno bumbana na bangumba kana ve beno tafwa.' | Negative |
Bo badya diawu, bawu balevula nsiku wukhambu phasi Nzambi kaba sudikila mboti. | Negative |
Yanga u vingila mbala kenda yandi, di ka mangukina ko | Negative |
Yandi ta sambisa na kutadila minsiku ya lunungu ya Nzambi, kansi ve na mambu yina yandi ke mona to ke wa. | Negative |
Bau vandaka kutuba nde: 'Jehovah kemona beto ve. | Negative |
Sambu bo ke zolaka kupesa Nzambi kiese na mambu yonso yina bo ke salaka. | Positive |
Dieumerci Mayele | Positive |
Beno bansadi na mono, | Negative |
Bia wô'ô mvaé ya bo ve jôme jia; | Negative |
MABUNDU mingi ke tubaka nde bo ke longaka kieleka na yina me tala Nzambi. | Positive |
Yandi tubaka nde: "Tata, kana nge me zola, katula dikopa yai na mono. | Negative |
Yo kele nsangu ya mbote na kuzaba nde Nzambi kemonaka bantu yina mpi nde yandi kekudibanza-banzaka sambu na bo. | Positive |
Nzambi ke niokulaka bantu mvula na mvula na bilungi ya tiya | Negative |
Keti yandi lenda sila mambu ebuna yandi lungisa yo ve?" | Negative |
nza banu, bo kebaikaala kanti zila zole kaaka ya kuuna kuakaka; | Negative |
Inki dilongi nge lenda baka na yina me tala kukwikila na Nzambi na disolo ya Noa mpi ya Mvula ya Ngolo? | Positive |
By and by, bu nsuka ta kwisa Bana ya Nzambi ta kwenda na zulu Beto yimbila kilumbu beto ndandu Beto bakisa yau mbote by and by. | Positive |
Ebuna, makanda yonso tazaba nde nge mosi kele Nzambi.' | Positive |
Ebuna luvunu yai ya nsuka ta vanda mbi kuluta yina ya ntete." | Positive |
Kilumbu mbi yisukila kumonisa mamboti kwidi mutu wukhambulu mwisi dikanda voti nkundi'ama wufikama?' | Negative |
Bila bawu bavanga kilumbu ki Kisabala kiba beni phasi bo babwela minsinku minkaka. | Positive |
Yandi me tuba diaka nde: "Dikanda na nge mosi mpi bamfumu ya banganga-nzambi pesaka nge na maboko na mono. | Positive |
Beto ta teka ve, ta kabula ve, mpi ta defisa ve ata nki mutindu konso nsangu yina nge me pesa. | Negative |
Bo ke tudilaka nge dikebi mpi bo ke zolaka kupesa nge kikesa. | Positive |
Mu' ke na kubakaka masa ya kulezima. | Negative |
Muna lusadisu lwa Nzambi o Yosefe ubasasidi e ndozi. | Positive |
Nzambi ndimaka kisambu ya ntotila Salomo mpi pesaka yandi mabaku ya nene. | Positive |
Mono ta kutinda mwana na mono ya zolama; mbala ya ntangu bo ta kumona yandi yai, bo ta kuzitisa yandi. | Positive |
Wapi nge zolaka kubaka masa yina ya moyo?' | Negative |
Konso kilumbu, bantu vandaka kuvukana sambu na kuwidikila ntangu bo vandaka kutanga Nsiku ya Nzambi, mpi yo pesaka bo kiese mingi | Positive |
wala taindasika kutifuka mosi ta kare na kare. | Positive |
Yayi kabu ya nene !; Ah zola, zola mpangi na ngeye na ntima ya mbote " | Positive |
Na bilumbu ya Noa, bawanzio ya nkaka kolamaka mpi kwisaka na ntoto. | Negative |
Salama ya salama (Dalida), | Positive |
Mwa buku Yuwa Nzambi fivangulu mwingi kulonga kyedika ki Kibibila kwidi batu bakhambu zaba tanga. | Negative |
na kingolo fwete vwanda bonso kifu ya kufwa Bantu; | Negative |
Na kumonaka bamvita kesalama na kati ya bantu kele ndinga mosi ve, | Positive |
Mwingi Nowa ayi dikanda dyandi babika kuzimbakana lukanu beni, Yave wubamonisa nkyama ku diyilu, mwingi batebukanga moyo. | Negative |
Inki mutindu bo ke tuba na bandinga na beto?' | Negative |
Wukiyuvusa: 'Yinkuwanga buboti bankaka ayi yimvanganga mangolo mwingi kuvisa mabanza mawu? | Negative |
Bwidi kuzaba mboti Nzambi kukyebila Nowa? | Negative |
Yayantika bakula vo Yave kangiambula ko; edi kaka yavavanga vo yavutuka kwa yandi. | Positive |
Kansi bantu tubaka nde: 'Beto tunga mbanza mosi mpi nzo-zulu yina takuma tii na zulu. | Positive |
Mamonso masonama mu yandi. | Positive |
I Ayambu Yo Bitimo yo Kusayo | Negative |
Ebuna yandi waka kinati-nsangu ya Nzambi ke pesa ntuma nde bo zenga yo kansi bo yambula misisa na yo na ntoto. | Negative |
Moïse pesaka bau nswa: 'Beno lokuta yau konso muntu na kiteso yandi tadya.' | Positive |
Inki mutindu beno ta kutina na kusambisama ya gehena ? | Negative |
Mbanza tafwa kana bantu kubika ve banzila na bau ya mbi. | Negative |
Mayele ya Nzambi Kele Nki? | Negative |
Nge ta mona mambu ya nene kuluta yai." | Positive |
Bana na nge ta mona mambu yina nge ke salaka kana diambu mosi me pesa nge makasi. | Positive |
Tala mambu ya yandi tubaka: 'Kilumbu kele Nzambi tafwa bantu ya mbi yonso.' | Negative |
Aroni tubaka nde: 'Beno pesa mono wolo na beno.' | Positive |
Kabula Kabula Bantumwa Ke Tulana Ntembe Sambu na Kuzaba Nani Me Luta Nene | Positive |
Mono tavanda na mawa ve kilumbu ya bampasi tabwila bau.' | Positive |
" Mu me fidisa ba mambou ya munu na insi ya mu vimba Samu ba yina ké na pasi bawu vuka, | Negative |
Mu thangu wundyata ngye feka va bwilu, fweti banga wulubuka kibila mambu mambi malenda kumonikina. | Positive |
Yandi tindaka baprofete mingi sambu na kukebisa bo, kansi bo buyaka kulemfuka. | Negative |
Vumisa yovo vavila e mbi muna muntu yovo muna lekwa. | Positive |
Mambu yina yandi monaka kele mfunu mingi sambu na bansadi ya kwikama ya Nzambi bubu yai. | Positive |
Bwidi tulenda landikinina kifwani ki Yosefi mu moso mambu mammonika mu luzingu lwitu? | Negative |
Bo ta tuba: 'Nki ntangu | Negative |
Salomo sonikaka nde: "Losa dimpa na nge na masa, sambu na nima ya bilumbu mingi nge ta mona yo diaka." | Negative |
Mba na ta nde na pula, o mbusa ndola su | Negative |
Ndinga ya kukatukaka na nti yina vandaka kupela tiya kutubaka inki, mpi yo vandaka ndinga ya nani? | Negative |
Ata bambeni bangisa nge, | Positive |
Tala, bo me yambudila beno nzo na beno." | Negative |
Bo ta vanda na kiese ya kulonga nge mambu yina bo longukaka. | Positive |
Inki mutindu bawanzyo yankaka kukumaka bampeve ya mbi? | Negative |
Yandi songaka Eli nde: 'Yai mwana yina mono vandaka kusamba Nzambi. | Positive |
Kansi, Nzambi me bikaka beto ve kukonda lusadisu. | Negative |
Bantu mpi bawanzyo yina Nzambi gangaka, kuvandaka ti makuki ya kukuka ya kulemfuka na bansiku ya Nzambi. | Positive |
Inki kusalaka nde Noa kuvanda nsambidi mosi ya mbote ya Nzambi ya kyeleka? | Positive |
Kukekala Lusanguko! | Positive |
Nani kugangaka bima yonso ya kezingaka? | Negative |
Sambu na yina metala mambu yina kusalamaka na zulu, beto ketanga nde: "Yo yina nge zulu ti beno bantu ke zingaka kuna, beno vanda na kiese!" | Positive |
"Muna muntu mosi i kavangila zula yawonso, kimana bakala ova nza, wasikidisa e kolo yo sia nkendelo muna kalu ya wantu." | Positive |
Ata mbeni fwa beno, | Positive |
Kansi ntangu bo kolamaka, bo salaka disumu mpi na nima bo fwaka. | Negative |
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Kongo Sentiment Corpus
Dataset Description
This dataset contains sentiment-labeled text data in Kongo for binary sentiment classification (Positive/Negative). Sentiments are extracted and processed from the English meanings of the sentences using DistilBERT for sentiment classification. The dataset is part of a larger collection of African language sentiment analysis resources.
Dataset Statistics
- Total samples: 141,532
- Positive sentiment: 86025 (60.8%)
- Negative sentiment: 55507 (39.2%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Kongo
- sentiment: Sentiment label (Positive or Negative only)
Data Splits
This dataset contains a single split with all the processed data.
Data Processing
The sentiment labels were generated using:
- Model:
distilbert-base-uncased-finetuned-sst-2-english - Processing: Batch processing with optimization for efficiency
- Deduplication: Duplicate entries were removed based on text content
- Filtering: Only Positive and Negative sentiments retained for binary classification
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("michsethowusu/kongo-sentiments-corpus")
# Access the data
print(dataset['train'][0])
# Check sentiment distribution
from collections import Counter
sentiments = [item['sentiment'] for item in dataset['train']]
print(Counter(sentiments))
Use Cases
This dataset is ideal for:
- Binary sentiment classification tasks
- Training sentiment analysis models for Kongo
- Cross-lingual sentiment analysis research
- African language NLP model development
Citation
If you use this dataset in your research, please cite:
@dataset{kongo_sentiments_corpus,
title={Kongo Sentiment Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/kongo-sentiments-corpus}
}
License
This dataset is released under the MIT License.
Contact
For questions or issues regarding this dataset, please open an issue on the dataset repository.
Dataset Creation
Date: 2025-07-02 Processing Pipeline: Automated sentiment analysis using HuggingFace Transformers Quality Control: Deduplication, batch processing optimizations, and binary sentiment filtering applied
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Number of rows:
141,532